A Segmentation and Abstraction of Blood Vessels from Volume Data for Surgical Simulation
نویسندگان
چکیده
In this paper, we present a robust segmentation method of blood vessels from medical volume data. It extracts the blood vessels with their important geometric features such as bifurcations, a location of centroid, diameter, and tangent vectors. It also generates an abstract model which has a tree structure in which the nodes store important features of the vessels. We use the extracted vessels data to simulate a variety of vascular and interventional radiology procedures.
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